Computational Approaches for Drug Delivery of Nanoparticles
- Publisher:
- Wiley
- Publication Type:
- Chapter
- Citation:
- Drug Delivery Systems Using Quantum Computing, 2024, pp. 247-282
- Issue Date:
- 2024-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 23484518_15722105400005671 (1).pdf | Published version | 1.18 MB |
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Nanoparticulate drug delivery is a novel and rapidly emerging concept for targeted delivery of bioactive to the predefined site in a controlled way and diagnosis and treatment of various diseases. Despite numerous advantages, drug delivery through nanocarrier-mediated systems is complex and expensive due to their smaller size. To resolve all these complications, computational modeling is being incorporated into designing the new drug delivery systems and understanding the problems of existing nanoparticles. Computer simulation optimizes the designing of drug carrier systems, hence allowing the prediction of drug delivery efficiency to specific targets. Simulations not only can screen the lead compound and carrier substance but also can provide deep insights into features of fabricated nanoparticles, thus allowing the formation of better and more effective nanoparticles suitable for patients. In the drug delivery process, computational modeling is also envisioned to provide solutions to problems regarding surface chemistry, target properties, carrier specifications, formulation approach, etc. The commonly used computational approaches for targeting nanoparticles are the continuum approach, stochastical modeling, etc. These approaches provide knowledge about drug transport, dissolution process, cell interaction, and much other crucial information that can be acquired using them. The present chapter summarizes the background of drug delivery, concepts of nanoparticles, and approaches involved in the computational modeling of nanoparticulate drug delivery systems.
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